<h2><strong>Job Overview</strong></h2><p><strong>Role:</strong> Analyst – Data Science</p><p> <strong>Company:</strong> American Express</p><p> <strong>Job Type:</strong> Full-Time</p><p> <strong>Employment Mode:</strong> Hybrid</p><p> <strong>Locations:</strong></p><ul><li>Gurugram, Haryana, India</li><li>Bengaluru Urban, Karnataka, India</li></ul><h2><strong>Key Responsibilities</strong></h2><ul><li>Develop, deploy, and validate <strong>predictive models</strong> for risk, fraud, and marketing decisions</li><li>Apply <strong>economic logic and analytics</strong> to enable profitable business outcomes</li><li>Analyze large-scale structured and unstructured datasets to extract insights</li><li>Use Amex’s <strong>closed-loop network data</strong> to enhance decision intelligence</li></ul><h2><strong>Salary / Compensation</strong></h2><ul><li>Not disclosed</li><li><strong>Competitive base salary</strong> </li></ul><h2><strong>Work Details</strong></h2><ul><li><strong>Work Mode:</strong> Hybrid (Onsite + Remote)</li></ul><h2><strong>Eligibility Criteria</strong></h2><h3><strong>Age</strong></h3><ul><li>As per company norms</li></ul><h3><strong>Education</strong></h3><ul><li>MBA <strong>OR</strong> Master’s degree in:</li><li>Statistics</li><li>Economics</li><li>Computer Science</li><li>Data Science</li><li>Engineering or related quantitative fields</li></ul><h3><strong>Experience</strong></h3><ul><li><strong>0–30 months</strong> of experience in:</li><li>Analytics</li><li>Data Science</li><li>Big Data / Machine Learning workstreams</li><li>Freshers are welcome </li></ul><p><br></p>

SarthiQ

Analyst – Data Science

Job Description

Job Overview

Key Responsibilities

Salary / Compensation

Work Details

Eligibility Criteria

Age

Education

Experience

Required Skills

Job Insights

Other Opportunities